Triple

T6223626
Position Surface form Disambiguated ID Type / Status
Subject Aggies E139175 entity
Predicate officialColors P60 FINISHED
Object Aggie Blue E139174 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aggie Blue | Statement: [Aggies, officialColors, Aggie Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aggie Blue
Context triple: [Aggies, officialColors, Aggie Blue]
  • A. Aggie Blue chosen
    Aggie Blue is the distinctive deep blue color traditionally associated with the athletic teams and branding of the University of California, Davis.
  • B. Maize and Blue
    Maize and Blue is a nickname referring to the University of Michigan Wolverines, derived from the school’s iconic colors.
  • C. Berkeley Blue
    Berkeley Blue is a deep navy shade that serves as one of the primary official colors representing the University of California, Berkeley.
  • D. Raider Red
    Raider Red is one of Texas Tech University's costumed mascots, known for his Wild West gunslinger persona and energetic presence at athletic events.
  • E. Chicago maroon and burnt orange
    Chicago maroon and burnt orange are the distinctive official colors associated with Virginia Tech’s athletic teams and branding.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062c06c7881909999ba44aa4a23f9 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243f042b08190a32bb07acd419b4c completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:22 p.m.